Advance Auto Parts · 4 hours ago
Data Scientist
Raleigh, NC
Full-time
Hybrid
Senior Level
5+ years expAdvance Auto Parts is seeking an experienced Data Scientist with strong expertise in Data Science and machine learning engineering. The role focuses on building scalable ML solutions, productionizing models, and enabling robust ML platforms for enterprise-grade deployments.
AutomotiveRetail
Responsibilities
Build ML Models: Design and implement predictive and prescriptive models for regression, classification, and optimization problems.Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM)
Train and Tune Models: Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch
Collaboration & Communication: Work closely with stakeholders to understand business challenges and translate them into data science solutions and work in the end-to-end solutioning. Collaborate with cross-functional teams to ensure successful integration of models into business processes
Monitoring & Visualization: Rapidly prototype and test hypotheses to validate model approaches. Build automated workflows for model monitoring and performance evaluation. Create dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, Shapley values etc
Productionize ML: Build repeatable paths from experimentation to deployment (batch, streaming, and low-latency endpoints), including feature engineering, training, evaluation
Own ML Platform: Stand up and operate core platform components—model registry, feature store, experiment tracking, artifact stores, and standardized CI/CD for ML
Pipeline Engineering: Author robust data/ML pipelines (orchestrated with Step Functions / Airflow / Argo) that train, validate, and release models on schedules or events
Observability & Quality: Implement end-to-end monitoring, data validation, model/drift checks, and alerting SLA/SLOs
Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans, auditability, and cost controls aligned to enterprise policies
Partner & Mentor: Collaborate with on-shore/off-shore teams; coach data scientists on packaging, testing, and performance; contribute to standards and reviews
Hands-on Delivery: Prototype new patterns; troubleshoot production issues across data, model, and infrastructure layers
Qualification
Required
Bachelor's degree in Computer Science, Information Technology, Data Science, or related field
5+ years experience with Python (pandas, PySpark, scikit-learn; familiarity with PyTorch/TensorFlow helpful), bash, experience with Docker
Design and implement predictive and prescriptive models for regression, classification, and optimization problems. Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM)
5+ years experience with SageMaker (training, processing, pipelines, model registry, endpoints) or equivalents (Kubeflow, MLflow/Feast, Vertex, Databricks ML)
5+ years' experience with Databricks DABS or Airflow or Step Functions, e-driven designs with EventBridge/SQS/Kinesis
3+ years experience with AWS/Azure/GCP on various services like ECR/ECS, Lambda, API Gateway, S3, Glue/Athena/EMR, RDS/Aurora (PostgreSQL/MySQL), DynamoDB, CloudWatch, IAM, VPC, WAF
Warehouses, databases, schemas, stages, Snowflake SQL, RBAC, UDF, Snowpark
3+ years hands-on experience with CodeBuild/Code Pipeline or GitHub Actions/GitLab; blue/green, canary, and shadow deployments for models and services
Proven experience with batch/stream pipelines, schema management, partitioning, performance tuning; parquet/iceberg best practices
Unit/integration tests for data and models, contract tests for features, reproducible training; data drift/performance monitoring
Incident response for model services, SLOs, dashboards, runbooks; strong debugging across data, model, and infra layers
Clear communication, collaborative mindset, and a bias to automate & document
Preferred
Experience in retail/manufacturing is preferred
Company
Advance Auto Parts
Advance Auto Parts is the largest automotive aftermarket parts provider in North America, serves both the professional installer.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$1.95B2025-07-28Post Ipo Debt· $1.95B
2001-11-29IPO
Leadership Team
Shane O'Kelly
President and Chief Executive Officer
Ryan Grimsland
Executive Vice President & Chief Financial Officer
Recent News
2026-01-24
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